Honggang Wang, PhD
Professor
Electrical & Computer Engineering
Contact
508-999-8469
508-999-8489
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Science & Engineering 209B
Education
| 2009 | University of Nebraska - Lincoln | PhD in Computer Engineering |
| 2001 | Southwest Jiaotong University, China | MS in Computer Science and Engineering |
| 1996 | Southwest Jiaotong University, China | BE in Electrical Engineering |
Teaching
- Computer architecture
- Multimedia communications
- Wireless networks and mobile security
- Wireless Sensor Networks
- Computer Systems
Teaching
Programs
Programs
- Biomedical Engineering and Biotechnology MS, PhD
- Computer Engineering BS, BS/MS
- Computer Engineering MS
- Computer Engineering Cybersecurity Concentration
- Electrical Engineering BS, BS/MS
- Electrical Engineering MS
- Electrical Engineering PhD
Teaching
Courses
Principles of real-time and embedded systems operations and control applied to modern hardware platforms such as mobile and internet-of-things systems. As part of this course, embedded real-time design principles are introduced and linked to real-time resource management service issues impacting performance. Students construct real-time embedded resource management components and applications on representative platforms (e.g. handheld and mobile computers, autonomous systems, smart sensors, and others). An embedded real-time hardware/firmware laboratory experience is included.
Principles of real-time and embedded systems operations and control applied to modern hardware platforms such as mobile and internet-of-things systems. As part of this course, embedded real-time design principles are introduced and linked to real-time resource management service issues impacting performance. Students construct real-time embedded resource management components and applications on representative platforms (e.g. handheld and mobile computers, autonomous systems, smart sensors, and others). An embedded real-time hardware/firmware laboratory experience is included.
Principles of real-time and embedded systems operations and control applied to modern hardware platforms such as mobile and internet-of-things systems. As part of this course, embedded real-time design principles are introduced and linked to real-time resource management service issues impacting performance. Students construct real-time embedded resource management components and applications on representative platforms (e.g. handheld and mobile computers, autonomous systems, smart sensors, and others). An embedded real-time hardware/firmware laboratory experience is included.
Topics of timely interest in electrical and computer engineering. Course content may change from year to year according to instructor's preferences.
Advanced study of wireless and mobile network architectures, technologies, protocols and mobile security design at graduate level. It covers impediments of the mobile and wireless environments, problems and limitations due to such impediments, various network layers solutions, location management techniques, mobile IP, wireless TCP, wireless LANs, 802.16/WIMAX, Wireless Mesh Networks, ad-hoc networks, routing and power optimization, performance and mobile security issues.
Research
Research Activities
- NSF: Developing A Physical-Channel Based Lightweight Authentication System for Wireless Body Area Networks
- A wearable biosensor system for the remote detection of life threatening events in neonates
- A Physical-Channel Based Lightweight Authentication System for Wireless Body Area Networks
- mmWave Communication for Vehicle Safety
- Multimedia Communications
Research
Research Interests
- Internet of Things and Connected Health
- Body Area Networks (BAN) and Wireless Multimedia
- Multimedia Processing and Communications, Cyber and Multimedia Security, Mobile Multimedia and Cloud, Edge Computing
- Wireless Networks and Cyber-physical System
- Big Data in mHealth, Data Engineering and Machine Learning
Select publications
M. S. Mahmud*,H. Wang, E. E. Alam, and H. Fang (2017).
A wireless health monitoring system using mobile phone accessories
IEEE Internet of Things Journal, 4, 2009–2018.
Z. Li*, H. Wang, and H. Fang (2017).
Group-based cooperation on symmetric key generation for wireless body area networks
IEEE Internet of Things Journal, 4, 1955–1963.
Dr. Honggang Wang is an IEEE Fellow and a professor at the University of Massachusetts Dartmouth. He has produced more than 200 high-quality publications in prestigious journals and conferences in his research areas, wining prestigious best paper awards six times. His research interests include Internet of Things, Wireless Body Area Networks (BAN), Multimedia Communication and Applications, and Connected Vehicle. He has been serving as the Editor in Chief (EiC) for IEEE Internet of Things Journal since 2020. He was the past Chair (2018-2020) of IEEE Multimedia Communications Technical Committee and is the IEEE eHealth Technical Committee Chair (2020-2021).